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NCT ID: NCT03686098 Enrolling by invitation - Breast Cancer Clinical Trials

The Malaysian Soy and Mammographic Density Study

MiSo
Start date: November 19, 2018
Phase: N/A
Study type: Interventional

Globally, breast cancer is the most common cancer and the main cause of deaths due to cancer. This is attributed to changes in reproductive habits as well as an increasingly sedentary lifestyle, with low physical activity and diets rich in saturated fats but low in fiber. While the main focus in many Asian countries is to improve survival from breast cancer by encouraging early detection of the disease and improving access to cancer treatment, it does not reduce the number of women who will be diagnosed with breast cancer in the years to come. Currently, there is an urgent need to develop effective strategies to prevent breast cancer in Asia and beyond. Soy may be an important dietary strategy for breast cancer prevention. Compared to women in the West, Asian women consume up to 10-fold more soy in their diet, which may, in part, explain their lower risk of breast cancer. Soybeans are rich in isoflavones, which can mimic estrogenic activity. In the body, it competes with estrogen and binds to estrogen receptor sites, thereby reducing the effect of estrogen and possibly lowering breast cancer risk. Consistently, research has shown that Asian postmenopausal women who have high soy diets are less likely to be diagnosed with breast cancer. However, researchers have not been able to show that postmenopausal women can reduce their breast cancer risk by increasing soy intake as part of their diets. There are several reasons why these studies have failed to see an effect despite the body of evidence indicating that soy may be protective. Firstly, these are studies of Caucasian women who may have never been exposed to soy, particularly in adolescence, where soy may have the greatest impact. Also, these studies have used soy isoflavone supplements, rather than traditional soy foods made from whole soybeans, which may affect how soy is metabolized in the body. Lastly, the way in which mammographic density measurements were obtained previously could have negatively influenced the study results, such as the use of digitized images of mammogram films rather than raw digital images and the use of semi-automated methods that may be subject to human error and reader variability. Therefore, a well-designed intervention study among Asian women living in Asia, using suitable mammographic density measures as a surrogate marker of breast cancer risk, will best answer these remaining gaps in our knowledge about the soy-breast cancer relationship.

NCT ID: NCT03022708 Enrolling by invitation - Clinical trials for Heart Defect, Congenital

Xeltis Bioabsorbable Pulmonary Valved Conduit Pivotal Study

Xplore2
Start date: May 8, 2017
Phase: N/A
Study type: Interventional

This is a multi-center prospective, single-arm, non-randomized, pivotal study that will continue to access the feasibility of the Xeltis Bioabsorbable Pulmonary Valved Conduit in subjects requiring right ventricular outflow tract correction or reconstruction due to congenital heart malformations.

NCT ID: NCT01708031 Enrolling by invitation - Clinical trials for Stress, Psychological

Computerized Mental Arthimetic Task Based Human Stress Level Detection Using Physiological Signal

UNIMAP
Start date: October 2011
Phase: N/A
Study type: Interventional

Computerized Mental Arithmetic Task Based Human Stress Level Detection Using Physiological Signal The objective of this study is to induce and measure the human stress level through computerized mental arithmetic task and multiple physiological signals (ECG, EMG, GSR, and skin temperature). Studies suggested that mental arithmetic task is one of the efficient stimuli to induce the stress. Hence, this mental arithmetic task protocol has been improved in to computerized version. The protocol will be tested with normal subjects and multiple physiological signals will be acquired simultaneously. The questionnaire about the subject experience will be obtained in order to strengthen the stress induction. The normal volunteer subjects will be invited for the participation this study. The physiological signal will be analyzed using suitable algorithm based on the characteristics of each signals. The multiple signal based stress level assessment system will be developed by training and testing the acquired data.